Dataset Open Access
Bardi, Alessia;
Kuchma, Iryna;
Pavone, Gina;
Artini, Michele;
Atzori, Claudio;
Bäcker, Amelie;
Baglioni, Miriam;
Czerniak, Andreas;
De Bonis, Michele;
Dimitropoulos, Harry;
Foufoulas, Ioannis;
Horst, Marek;
Iatropoulou, Katerina;
Kokogiannaki, Argiro;
La Bruzzo, Sandro;
Lazzeri, Emma;
Manghi, Paolo;
Mannocci, Andrea;
Manola, Natalia;
Schirrwagen, Jochen;
Vergoulis, Thanasis;
Chatzopoulos, Serafeim;
Pierrakos, Dimitris
This dataset provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dataset contains the OpenAIRE COVID-19 Gateway records, identified via full-text mining and inference techniques applied to the OpenAIRE Graph. The OpenAIRE Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA.
The dataset consists of a tar archive containing gzip files with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.8238913.
Name | Size | |
---|---|---|
COVID-19.tar
md5:6aa24bf7b1150c64af162cf4a38e98aa |
1.4 GB | Download |
All versions | This version | |
---|---|---|
Views | 13,761 | 2,316 |
Downloads | 1,182 | 237 |
Data volume | 592.9 GB | 341.9 GB |
Unique views | 11,407 | 2,100 |
Unique downloads | 982 | 208 |